Guozheng Ma

5

Papers

38

Total Citations

Papers (5)

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages

Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning

Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer

Faster and Better 3D Splatting via Group Training

Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning

NeurIPS 2023arXiv